91av视频/亚洲h视频/操亚洲美女/外国一级黄色毛片 - 国产三级三级三级三级

  • 大小: 22KB
    文件類型: .zip
    金幣: 2
    下載: 0 次
    發布日期: 2021-06-16
  • 語言: 其他
  • 標簽: matlab??cluste??

資源簡介

包括主流的幾種動態聚類算法:K-means,K-means的改進算法,DBSCAN算法等等,還有數據作圖代碼,代碼詳細明晰!適合想學習動態聚類算法的朋友!

資源截圖

代碼片段和文件信息

function?[centroid?result]?=?Clustering(data?method?varargin)
%?Currently?following?clustering?algorithms?are?supported:
%???1.?Kmeans
%???2.?Kmeans++
%???3.?ISODATA?(Iterative?Self-Organizing?Data?Analysis)
%???4.?Mean?Shift
%???5.?DBSCAN?(Density-based?Spatial?Clustering?of?Application?with?Noise)
%???6.?Gaussian?Mixture?Model?/*?Numerical?instability?problem?not?completely?solved*/
%???7.?LVQ?(Learning?Vector?Quantization)

addpath(‘.\lib‘);
addpath(‘.\tool‘);

%?Check?input?validity
if((strcmp(method‘kmeans‘)?||?strcmp(method‘kmeans++‘))?&&?(size(varargin2)?~=?2))
????error(‘The?value?of?K?should?be?predefined?when?using?k-means?and?k-means++.‘);
elseif((strcmp(method‘isodata‘)?||?strcmp(method‘ISODATA‘))?&&?(size(varargin2)?????error(‘Not?enough?input?for?ISODATA.?Please?use?help?for?more?information.‘);
elseif((strcmp(method‘mean_shift‘)?||?strcmp(method‘Mean_Shift‘))?&&?(size(varargin2)?~=?1))
????error(‘Invalid?number?of?input?for?mean?shift.‘);
elseif((strcmp(method‘dbscan‘)?||?strcmp(method‘DBSCAN‘))?&&?(size(varargin?2)?~=?2))
????error(‘Invalid?number?of?input?for?dbscan.‘);
elseif((strcmp(method‘GMM‘)?||?strcmp(method‘gmm‘))?&&?(size(varargin?2)?~=?2))
????error(‘Invalid?number?of?input?for?Gaussian?Mixture?Model‘);
elseif((strcmp(method‘LVQ‘)?||?strcmp(method‘lvq‘))?&&?(size(varargin?2)?~=?5))
????error(‘Invalid?number?of?input?for?Learning?Vector?Quantization‘);
end

%?Method?entries
%?Kmeans
if(strcmp(method‘kmeans‘))
????k?=?varargin{11};
????iteration?=?varargin{12};
????[centroid?result]?=?Kmeans(data?k?iteration);
????PlotData(data?result?centroid);
%?Kmeans++
elseif(strcmp(method‘kmeans++‘)?||?strcmp(method‘kmeanspp‘))?
????k?=?varargin{11};
????iteration?=?varargin{12};
????[centroid?result]?=?Kmeanspp(data?k?iteration);
????PlotData(data?result?centroid);
%?ISODATA
elseif(strcmp(method‘ISODATA‘)?||?strcmp(method‘isodata‘))
????desired_k?=?varargin{11};?%?desired?number?of?classes
????iteration?=?varargin{12};?%?maximum?iteration?time
????minimum_n?=?varargin{13};?%?minimum?number?of?samples?in?one?class
????maximum_variance?=?varargin{14};?%?maximum?allowed?variance?of?samples?in?one?class
????minimum_d?=?varargin{15};?%??minimum?distance?between?two?classes
????[centroid?result]?=?ISODATA(data?iteration?desired_k?minimum_n?maximum_variance?minimum_d);
????PlotData(data?result?centroid);
%?Mean?Shift
elseif(strcmp(method‘mean_shift‘)?||?strcmp(method‘Mean_Shift‘))
????thr?=?varargin{11};?%?distance?threshold
????[centroid?result]?=?Mean_Shift(data?thr);
????PlotData(data?result?centroid);
%?DBSCAN
elseif(strcmp(method‘dbscan‘)?||?strcmp(method‘DBSCAN‘))
????epsilon?=?varargin{11};?%?distance?threshold?for?finding?neighbors
????minPts?=?varargin{12};%?minimum?required?number?of?neighbor?points?for?adding?one?core?object
????centroid?=?nan;?%?DBSCAN?will?not?calculate?centroid
????result?=?DBSCAN(data?epsilon?minPts);
????PlotData(data?result);
%?Gaussi

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2019-01-28?14:31??Clustering-master\
?????文件????????3744??2019-01-28?14:31??Clustering-master\Clustering.m
?????文件????????2707??2019-01-28?14:31??Clustering-master\README.md
?????文件?????????135??2019-01-28?14:31??Clustering-master\Subspace_Clustering.m
?????目錄???????????0??2019-01-28?14:31??Clustering-master\data\
?????文件????????2753??2019-01-28?14:31??Clustering-master\data\toy_clustering.mat
?????文件????????3596??2019-01-28?14:31??Clustering-master\data\toy_subspace_clustering.mat
?????目錄???????????0??2019-01-28?14:31??Clustering-master\lib\
?????文件????????3843??2019-01-28?14:31??Clustering-master\lib\DBSCAN.m
?????文件????????2089??2019-01-28?14:31??Clustering-master\lib\Entropy_Weighting_Subspace_Kmeans.m
?????文件????????2685??2019-01-28?14:31??Clustering-master\lib\Gaussian_Mixture.m
?????文件????????3552??2019-01-28?14:31??Clustering-master\lib\ISODATA.m
?????文件????????1470??2019-01-28?14:31??Clustering-master\lib\Kmeans.m
?????文件????????2712??2019-01-28?14:31??Clustering-master\lib\Kmeanspp.m
?????文件????????1949??2019-01-28?14:31??Clustering-master\lib\LVQ.m
?????文件????????3347??2019-01-28?14:31??Clustering-master\lib\Mean_Shift.m
?????文件????????2875??2019-01-28?14:31??Clustering-master\lib\Subspace_Kmeans.m
?????目錄???????????0??2019-01-28?14:31??Clustering-master\tool\
?????文件?????????927??2019-01-28?14:31??Clustering-master\tool\GenerateDataset.m
?????文件?????????229??2019-01-28?14:31??Clustering-master\tool\OptimalDecisionBoundary.m
?????文件????????1378??2019-01-28?14:31??Clustering-master\tool\PlotData.m

評論

共有 條評論